W0828 05:00:36.205762 1882310 torch/_inductor/utils.py:1406] [0/0] DeviceCopy in input program
W0828 05:00:36.269448 1882310 torch/_inductor/utils.py:1406] [0/0] DeviceCopy in input program
W0828 05:00:36.302968 1882310 torch/_inductor/utils.py:1406] [0/0] DeviceCopy in input program
V0828 05:01:23.011752 1882310 torch/_dynamo/guards.py:2297] [0/0] [__guards] GUARDS:
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] 
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] TREE_GUARD_MANAGER:
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] +- RootGuardManager
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:471 in init_ambient_guards
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['self'], accessed_by=DictGetItemGuardAccessor(self)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['self'], 245047360)                        # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=L['self']._buffers, accessed_by=GetAttrGuardAccessor(_buffers)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- DICT_LENGTH: not L['self']._buffers                                        # _buffers = self.__dict__["_buffers"]  # nn/modules/module.py:1908 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=L['self']._modules, accessed_by=GetAttrGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- DICT_LENGTH: len(L['self']._modules) == 8                                  # modules = self.__dict__["_modules"]  # nn/modules/module.py:1912 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['pos_embed'], accessed_by=DictGetItemGuardAccessor(pos_embed)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'], 99356304)   # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['pos_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['pos_embed'].__dict__)  # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim, accessed_by=DictGetItemGuardAccessor(axes_dim)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'].axes_dim, 7569792)  # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- LENGTH_CHECK: len(L['self']._modules['pos_embed'].axes_dim) == 3            # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[0] == 16             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[1], accessed_by=TupleGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[1] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[2], accessed_by=TupleGetItemGuardAccessor(2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[2] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_hooks           # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_pre_hooks       # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['time_text_embed'], accessed_by=DictGetItemGuardAccessor(time_text_embed)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed'], 99372448)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['time_text_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed'].__dict__)  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules) == 4      # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'], accessed_by=DictGetItemGuardAccessor(time_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['time_proj'], 99358192)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # guidance_proj = self.time_proj(guidance)  # diffusers/src/diffusers/models/embeddings.py:994 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].scale, accessed_by=DictGetItemGuardAccessor(scale)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].scale == 1  # emb = scale * emb  # diffusers/src/diffusers/models/embeddings.py:66 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].num_channels, accessed_by=DictGetItemGuardAccessor(num_channels)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].num_channels == 256  # half_dim = embedding_dim // 2  # diffusers/src/diffusers/models/embeddings.py:56 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, accessed_by=DictGetItemGuardAccessor(flip_sin_to_cos)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, 7629952)  # if flip_sin_to_cos:  # diffusers/src/diffusers/models/embeddings.py:72 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift, accessed_by=DictGetItemGuardAccessor(downscale_freq_shift)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift == 0  # exponent = exponent / (half_dim - downscale_freq_shift)  # diffusers/src/diffusers/models/embeddings.py:60 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'], accessed_by=DictGetItemGuardAccessor(timestep_embedder)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'], 99357248)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['img_ids'], L['txt_ids'], L['guidance'], L['timestep'], L['hidden_states'], L['pooled_projections'], L['encoder_hidden_states'], L['self']._modules['proj_out']._parameters['bias'], L['self']._modules['proj_out']._parameters['weight'], L['self']._modules['x_embedder']._parameters['bias'], L['self']._modules['x_embedder']._parameters['weight'], L['self']._modules['context_embedder']._parameters['bias'], L['self']._modules['context_embedder']._parameters['weight'], L['self']._modules['norm_out']._modules['linear']._parameters['bias'], L['self']._modules['norm_out']._modules['linear']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters['bias'], L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters['bias'], 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L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'])
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], 96881248)  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'], accessed_by=DictGetItemGuardAccessor(guidance_embedder)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'], 99357248)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'], accessed_by=DictGetItemGuardAccessor(text_embedder)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder'], 100455248)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules) == 3  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], 97167728)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 768], stride=[768, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], accessed_by=DictGetItemGuardAccessor(act_1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], 96881248)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], 97167728)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._parameters  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._parameters         # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_hooks     # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_pre_hooks  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['context_embedder'], accessed_by=DictGetItemGuardAccessor(context_embedder)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['context_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['context_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['context_embedder'].__dict__)  # encoder_hidden_states = self.context_embedder(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:454 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['context_embedder']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 4096], stride=[4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['x_embedder'], accessed_by=DictGetItemGuardAccessor(x_embedder)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['x_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['x_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['x_embedder'].__dict__)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['x_embedder']._parameters) == 2        # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 64], stride=[64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['transformer_blocks'], accessed_by=DictGetItemGuardAccessor(transformer_blocks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 139846062622704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 139846062624576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 139846063044304)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[3]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 139846063046176)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[4]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 139846066996704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[5]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 139846066998768)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[6]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 139846062908992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[7]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 139846062911056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[8]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 139846069991072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[9]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 139846069993136)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[10]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 139846069233408)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[11]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 139846069235472)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[12]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 139846069036896)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[13]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 139846069038960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[14]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 139846068848576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[15]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 139846068850640)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[16]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 139846068639824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[17]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 139846067916960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[18]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], 97167728)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], 97167728)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], 97167728)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], 97167728)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], 97167728)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 139846067919072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 97167728)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'], 97167728)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'], accessed_by=DictGetItemGuardAccessor(single_transformer_blocks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[0]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 139846067704112)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[1]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 139846067704880)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[2]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 139846067705648)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[3]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 139846067706416)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[4]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 139846067707184)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[5]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 139846067507312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[6]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 139846067508080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[7]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 139846067508848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[8]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 139846067509616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[9]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 139846067510384)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[10]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 139846067511152)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[11]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 139846066291424)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[12]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 139846066292288)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[13]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 139846066293056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[14]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 139846066293824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[15]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 139846066294592)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[16]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 139846066090624)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[17]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 139846066091392)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[18]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 139846066092160)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=19
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[19]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[19] == '19'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 139846066092928)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=20
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[20]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[20] == '20'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 139846066093696)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=21
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[21]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[21] == '21'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 139846065365440)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=22
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[22]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[22] == '22'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 139846065366208)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=23
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[23]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[23] == '23'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 139846065366976)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=24
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[24]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[24] == '24'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 139846065367744)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=25
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[25]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[25] == '25'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 139846065368512)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=26
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[26]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[26] == '26'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 139846065164544)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=27
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[27]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[27] == '27'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 139846065165312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=28
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[28]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[28] == '28'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 139846065166080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=29
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[29]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[29] == '29'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 139846065166848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=30
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[30]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[30] == '30'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 139846065167616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=31
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[31]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[31] == '31'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 139846064955456)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=32
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[32]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[32] == '32'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 139846064956224)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=33
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[33]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[33] == '33'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 139846064956992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=34
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[34]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[34] == '34'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 139846064957760)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=35
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[35]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[35] == '35'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 139846064958528)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=36
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[36]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[36] == '36'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 139846064959296)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- KeyValueManager pair at index=37
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[37]
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[37] == '37'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], 97167728)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], 97167728)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], 97167728)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], 97167728)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], 97167728)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 139846064755328)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['norm_out'], accessed_by=DictGetItemGuardAccessor(norm_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out'], 99394624)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['norm_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out'].__dict__)  # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules) == 3             # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['silu'], 96881248)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['silu'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['linear'], 97167728)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['linear'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[6144, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[6144], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['norm_out']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._parameters                # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_hooks            # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_pre_hooks        # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=L['self']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['proj_out'], 97167728)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=L['self']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['proj_out'].__dict__)  # output = self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:549 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['proj_out']._parameters) == 2          # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[64, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[64], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=L['self'].training, accessed_by=GetAttrGuardAccessor(training)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(L['self'].training, 7629920)                  # if self.training and self.gradient_checkpointing:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:472 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=L['self']._parameters, accessed_by=GetAttrGuardAccessor(_parameters)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- DICT_LENGTH: not L['self']._parameters                                     # _parameters = self.__dict__["_parameters"]  # nn/modules/module.py:1904 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=L['self']._internal_dict, accessed_by=GetAttrGuardAccessor(_internal_dict)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- TYPE_MATCH: ___check_type_id(L['self']._internal_dict, 221665040)         # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'norm_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'proj_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'pos_embed')            # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'x_embedder')           # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'time_text_embed')      # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'context_embedder')     # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'transformer_blocks')   # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'single_transformer_blocks')  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['img_ids'], accessed_by=DictGetItemGuardAccessor(img_ids)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['img_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[4096, 3], stride=[3, 1])  # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['img_ids'], '_dynamo_dynamic_indices') == False     # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['txt_ids'], accessed_by=DictGetItemGuardAccessor(txt_ids)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['txt_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[512, 3], stride=[3, 1])  # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['txt_ids'], '_dynamo_dynamic_indices') == False     # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['guidance'], accessed_by=DictGetItemGuardAccessor(guidance)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['guidance'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[1], stride=[1])  # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['guidance'], '_dynamo_dynamic_indices') == False    # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['timestep'], accessed_by=DictGetItemGuardAccessor(timestep)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['timestep'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1], stride=[1])  # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['timestep'], '_dynamo_dynamic_indices') == False    # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['return_dict'], accessed_by=DictGetItemGuardAccessor(return_dict)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- ID_MATCH: ___check_obj_id(L['return_dict'], 7629920)                    # if not return_dict:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:555 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['hidden_states'], accessed_by=DictGetItemGuardAccessor(hidden_states)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 4096, 64], stride=[262144, 64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['pooled_projections'], accessed_by=DictGetItemGuardAccessor(pooled_projections)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['pooled_projections'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 768], stride=[768, 1])  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['pooled_projections'], '_dynamo_dynamic_indices') == False  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['encoder_hidden_states'], accessed_by=DictGetItemGuardAccessor(encoder_hidden_states)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['encoder_hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 512, 4096], stride=[2097152, 4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['encoder_hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['joint_attention_kwargs'], accessed_by=DictGetItemGuardAccessor(joint_attention_kwargs)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- ID_MATCH: ___check_obj_id(L['joint_attention_kwargs'], 7580768)         # if joint_attention_kwargs is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['controlnet_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_block_samples)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_block_samples'], 7580768)       # if controlnet_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:502 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=L['controlnet_single_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_single_block_samples)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_single_block_samples'], 7580768)  # if controlnet_single_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:538 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['USE_PEFT_BACKEND'], accessed_by=DictGetItemGuardAccessor(USE_PEFT_BACKEND)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['USE_PEFT_BACKEND'], 7629952)               # if USE_PEFT_BACKEND:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:434 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['scale_lora_layers'], accessed_by=DictGetItemGuardAccessor(scale_lora_layers)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['scale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['scale_lora_layers'].__code__, 139856000130016)  # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['unscale_lora_layers'], accessed_by=DictGetItemGuardAccessor(unscale_lora_layers)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['unscale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['unscale_lora_layers'].__code__, 139856000130192)  # unscale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:553 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__builtins_dict___0'], accessed_by=DictGetItemGuardAccessor(__builtins_dict___0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['int'], accessed_by=DictGetItemGuardAccessor(int)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['int'], 7592000)     # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['len'], accessed_by=DictGetItemGuardAccessor(len)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['len'], 139859477898240)  # assert len(timesteps.shape) == 1, "Timesteps should be a 1d-array"  # diffusers/src/diffusers/models/embeddings.py:54 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['set'], accessed_by=DictGetItemGuardAccessor(set)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['set'], 7574816)     # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['str'], accessed_by=DictGetItemGuardAccessor(str)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['str'], 7556320)     # return str(idx)  # nn/modules/container.py:319 in _get_abs_string_index
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['iter'], accessed_by=DictGetItemGuardAccessor(iter)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['iter'], 139859477898160)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['range'], accessed_by=DictGetItemGuardAccessor(range)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['range'], 7576320)   # for i in range(n_axes):  # diffusers/src/diffusers/models/embeddings.py:628 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['slice'], accessed_by=DictGetItemGuardAccessor(slice)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['slice'], 7571168)   # if isinstance(idx, slice):  # nn/modules/container.py:331 in __getitem__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['super'], accessed_by=DictGetItemGuardAccessor(super)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['super'], 7562400)   # return super().__getattr__(name)  # diffusers/src/diffusers/models/modeling_utils.py:151 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['hasattr'], accessed_by=DictGetItemGuardAccessor(hasattr)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['hasattr'], 139859477897600)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['enumerate'], accessed_by=DictGetItemGuardAccessor(enumerate)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['enumerate'], 7452256)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__builtins_dict___0']['isinstance'], accessed_by=DictGetItemGuardAccessor(isinstance)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___0']['isinstance'], 139859477898000)  # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention'], 139846585526608)  # if len(args) > 0 or kwargs.get("scale", None) is not None:  # diffusers/src/diffusers/models/attention.py:1162 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_embeddings)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'], 139846586042224)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math, accessed_by=GetAttrGuardAccessor(math)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math, 139859475307632)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math.log, accessed_by=GetAttrGuardAccessor(log)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math.log, 139859474302592)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch, 139859475513072)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # hidden_states = torch.cat([attn_output, mlp_hidden_states], dim=2)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:96 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # query = torch.cat([encoder_hidden_states_query_proj, query], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1755 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, accessed_by=GetAttrGuardAccessor(cat)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, 139859471507920)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, accessed_by=GetAttrGuardAccessor(cos)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, 139859471509120)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, accessed_by=GetAttrGuardAccessor(exp)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, 139859471510480)  # emb = torch.exp(exponent)  # diffusers/src/diffusers/models/embeddings.py:62 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, accessed_by=GetAttrGuardAccessor(sin)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, 139856572546480)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, accessed_by=GetAttrGuardAccessor(chunk)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, 139859471508080)  # scale, shift = torch.chunk(emb, 2, dim=1)  # diffusers/src/diffusers/models/normalization.py:305 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, accessed_by=GetAttrGuardAccessor(outer)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, 139856572571056)  # freqs = torch.outer(t, freqs)  # type: ignore   # [S, D/2]  # diffusers/src/diffusers/models/embeddings.py:552 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, accessed_by=GetAttrGuardAccessor(rsqrt)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, 139859471462208)  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, accessed_by=GetAttrGuardAccessor(stack)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, 139859471467760)  # x_rotated = torch.stack([-x_imag, x_real], dim=-1).flatten(3)  # diffusers/src/diffusers/models/embeddings.py:595 in apply_rotary_emb
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, accessed_by=GetAttrGuardAccessor(arange)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, 139859471382304)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float16, accessed_by=GetAttrGuardAccessor(float16)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float16 == torch.float16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float32, accessed_by=GetAttrGuardAccessor(float32)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float32 == torch.float32  # start=0, end=half_dim, dtype=torch.float32, device=timesteps.device  # diffusers/src/diffusers/models/embeddings.py:58 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float64, accessed_by=GetAttrGuardAccessor(float64)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float64 == torch.float64  # freqs_dtype = torch.float32 if is_mps else torch.float64  # diffusers/src/diffusers/models/embeddings.py:627 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16, accessed_by=GetAttrGuardAccessor(bfloat16)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16 == torch.bfloat16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, accessed_by=GetAttrGuardAccessor(from_numpy)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, 139859471373712)  # t = torch.from_numpy(pos).to(freqs.device)  # type: ignore  # [S]  # diffusers/src/diffusers/models/embeddings.py:551 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=GetAttrGuardAccessor(apply_rotary_emb)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, 139855833426912)  # from .embeddings import apply_rotary_emb  # diffusers/src/diffusers/models/attention_processor.py:1760 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], 7629952)  # if use_real:  # diffusers/src/diffusers/models/embeddings.py:586 in apply_rotary_emb
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1], accessed_by=GetItemGuardAccessor(1)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1] == -1  # if use_real_unbind_dim == -1:  # diffusers/src/diffusers/models/embeddings.py:592 in apply_rotary_emb
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=GetAttrGuardAccessor(get_timestep_embedding)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, 139855833348912)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3] == 10000  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=GetAttrGuardAccessor(get_1d_rotary_pos_embed)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, 139855833425856)  # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=FuncDefaultsGuardAccessor
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0] == 10000.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2], accessed_by=GetItemGuardAccessor(2)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2] == 1.0  # freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor  # [D/2]  # diffusers/src/diffusers/models/embeddings.py:550 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3] == 1.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'], 139856042419520)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F, 139856042421440)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, accessed_by=GetAttrGuardAccessor(gelu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, 139856049958000)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, accessed_by=GetAttrGuardAccessor(silu)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, 139856039794000)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, accessed_by=GetAttrGuardAccessor(linear)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, 139856049959216)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, accessed_by=GetAttrGuardAccessor(dropout)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, 139856039777904)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, accessed_by=GetAttrGuardAccessor(layer_norm)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, 139856039795440)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, accessed_by=GetAttrGuardAccessor(scaled_dot_product_attention)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, 139856049962576)  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_module)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_module'], 139856045629904)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_pre_hooks)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_activations)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_activations'], 139855999915008)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_dropout)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_dropout'], 139856038787168)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_normalization)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_normalization'], 139846585727152)  # variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True)  # diffusers/src/diffusers/models/normalization.py:427 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_container)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'], 139856039033488)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator, accessed_by=GetAttrGuardAccessor(operator)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator, 139859476171088)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, accessed_by=GetAttrGuardAccessor(index)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, 139859476211968)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_modeling_utils'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_modeling_utils)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_modeling_utils'], 139855997135104)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_activation)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'], 139856042420880)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_normalization)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_normalization'], 139856038867568)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention_processor)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'], 139855999915568)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect, accessed_by=GetAttrGuardAccessor(inspect)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect, 139859475305312)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature, accessed_by=GetAttrGuardAccessor(signature)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, 139859474846800)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # query = torch.cat([encoder_hidden_states_query_proj, query], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1755 in __call__
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'], accessed_by=DictGetItemGuardAccessor(__import_peft_dot_tuners_dot_tuners_utils)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, accessed_by=GetAttrGuardAccessor(BaseTunerLayer)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, 244527504)  # from peft.tuners.tuners_utils import BaseTunerLayer  # diffusers/src/diffusers/utils/peft_utils.py:113 in scale_lora_layers
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | +- GuardManager: source=G['torch'], accessed_by=DictGetItemGuardAccessor(torch)
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # hidden_states = torch.cat([attn_output, mlp_hidden_states], dim=2)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:96 in forward
V0828 05:01:23.013332 1882310 torch/_dynamo/guards.py:2263] [0/0] [__guards] 
V0828 05:01:35.223701 1882310 torch/_dynamo/guards.py:2796] [0/1] [__recompiles] Recompiling function forward in /fsx/sayak/diffusers/src/diffusers/models/transformers/transformer_flux.py:388
V0828 05:01:35.223701 1882310 torch/_dynamo/guards.py:2796] [0/1] [__recompiles]     triggered by the following guard failure(s):
V0828 05:01:35.223701 1882310 torch/_dynamo/guards.py:2796] [0/1] [__recompiles]     - 0/0: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
W0828 05:02:32.900942 1882310 torch/_inductor/utils.py:1406] [0/1] DeviceCopy in input program
W0828 05:02:32.961526 1882310 torch/_inductor/utils.py:1406] [0/1] DeviceCopy in input program
W0828 05:02:32.994202 1882310 torch/_inductor/utils.py:1406] [0/1] DeviceCopy in input program
V0828 05:03:29.818554 1882310 torch/_dynamo/guards.py:2297] [0/1] [__guards] GUARDS:
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] 
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] TREE_GUARD_MANAGER:
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] +- RootGuardManager
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:471 in init_ambient_guards
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GLOBAL_STATE: ___check_global_state()
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['self'], accessed_by=DictGetItemGuardAccessor(self)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['self'], 245047360)                        # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=L['self']._buffers, accessed_by=GetAttrGuardAccessor(_buffers)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- DICT_LENGTH: not L['self']._buffers                                        # _buffers = self.__dict__["_buffers"]  # nn/modules/module.py:1908 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=L['self']._modules, accessed_by=GetAttrGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- DICT_LENGTH: len(L['self']._modules) == 8                                  # modules = self.__dict__["_modules"]  # nn/modules/module.py:1912 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['pos_embed'], accessed_by=DictGetItemGuardAccessor(pos_embed)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'], 99356304)   # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['pos_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['pos_embed'].__dict__)  # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim, accessed_by=DictGetItemGuardAccessor(axes_dim)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'].axes_dim, 7569792)  # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- LENGTH_CHECK: len(L['self']._modules['pos_embed'].axes_dim) == 3            # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[0] == 16             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[1], accessed_by=TupleGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[1] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[2], accessed_by=TupleGetItemGuardAccessor(2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[2] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_hooks           # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_pre_hooks       # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['time_text_embed'], accessed_by=DictGetItemGuardAccessor(time_text_embed)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed'], 99372448)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['time_text_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed'].__dict__)  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules) == 4      # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'], accessed_by=DictGetItemGuardAccessor(time_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['time_proj'], 99358192)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # guidance_proj = self.time_proj(guidance)  # diffusers/src/diffusers/models/embeddings.py:994 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].scale, accessed_by=DictGetItemGuardAccessor(scale)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].scale == 1  # emb = scale * emb  # diffusers/src/diffusers/models/embeddings.py:66 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].num_channels, accessed_by=DictGetItemGuardAccessor(num_channels)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].num_channels == 256  # half_dim = embedding_dim // 2  # diffusers/src/diffusers/models/embeddings.py:56 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, accessed_by=DictGetItemGuardAccessor(flip_sin_to_cos)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, 7629952)  # if flip_sin_to_cos:  # diffusers/src/diffusers/models/embeddings.py:72 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift, accessed_by=DictGetItemGuardAccessor(downscale_freq_shift)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift == 0  # exponent = exponent / (half_dim - downscale_freq_shift)  # diffusers/src/diffusers/models/embeddings.py:60 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'], accessed_by=DictGetItemGuardAccessor(timestep_embedder)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'], 99357248)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['img_ids'], L['txt_ids'], L['guidance'], L['timestep'], L['hidden_states'], L['pooled_projections'], L['encoder_hidden_states'], L['self']._modules['proj_out']._parameters['bias'], L['self']._modules['proj_out']._parameters['weight'], L['self']._modules['x_embedder']._parameters['bias'], L['self']._modules['x_embedder']._parameters['weight'], L['self']._modules['context_embedder']._parameters['bias'], L['self']._modules['context_embedder']._parameters['weight'], L['self']._modules['norm_out']._modules['linear']._parameters['bias'], L['self']._modules['norm_out']._modules['linear']._parameters['weight'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], 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L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'])
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], 96881248)  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'], accessed_by=DictGetItemGuardAccessor(guidance_embedder)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'], 99357248)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'], accessed_by=DictGetItemGuardAccessor(text_embedder)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder'], 100455248)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules) == 3  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], 97167728)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 768], stride=[768, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], accessed_by=DictGetItemGuardAccessor(act_1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], 96881248)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], 97167728)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._parameters  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._parameters         # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_hooks     # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_pre_hooks  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['context_embedder'], accessed_by=DictGetItemGuardAccessor(context_embedder)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['context_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['context_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['context_embedder'].__dict__)  # encoder_hidden_states = self.context_embedder(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:454 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['context_embedder']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 4096], stride=[4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['x_embedder'], accessed_by=DictGetItemGuardAccessor(x_embedder)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['x_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['x_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['x_embedder'].__dict__)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['x_embedder']._parameters) == 2        # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 64], stride=[64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['transformer_blocks'], accessed_by=DictGetItemGuardAccessor(transformer_blocks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 139846062622704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 139846062624576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 139846063044304)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[3]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 139846063046176)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[4]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 139846066996704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[5]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 139846066998768)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[6]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 139846062908992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[7]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 139846062911056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[8]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 139846069991072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[9]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 139846069993136)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[10]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 139846069233408)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[11]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 139846069235472)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[12]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 139846069036896)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[13]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 139846069038960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[14]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 139846068848576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[15]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 139846068850640)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[16]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 139846068639824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[17]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 139846067916960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[18]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 139846067919072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'], accessed_by=DictGetItemGuardAccessor(single_transformer_blocks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 139846067704112)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[1]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 139846067704880)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[2]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 139846067705648)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[3]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 139846067706416)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[4]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 139846067707184)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[5]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 139846067507312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[6]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 139846067508080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[7]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 139846067508848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[8]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 139846067509616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[9]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 139846067510384)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[10]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 139846067511152)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[11]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 139846066291424)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[12]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 139846066292288)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[13]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 139846066293056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[14]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 139846066293824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[15]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 139846066294592)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[16]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 139846066090624)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[17]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 139846066091392)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[18]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 139846066092160)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=19
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[19]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[19] == '19'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 139846066092928)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=20
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[20]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[20] == '20'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 139846066093696)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=21
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[21]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[21] == '21'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 139846065365440)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=22
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[22]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[22] == '22'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 139846065366208)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=23
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[23]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[23] == '23'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 139846065366976)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=24
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[24]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[24] == '24'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 139846065367744)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=25
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[25]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[25] == '25'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 139846065368512)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=26
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[26]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[26] == '26'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 139846065164544)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=27
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[27]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[27] == '27'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 139846065165312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=28
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[28]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[28] == '28'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 139846065166080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=29
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[29]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[29] == '29'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 139846065166848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=30
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[30]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[30] == '30'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 139846065167616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=31
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[31]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[31] == '31'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 139846064955456)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=32
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[32]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[32] == '32'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 139846064956224)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=33
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[33]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[33] == '33'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 139846064956992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=34
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[34]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[34] == '34'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 139846064957760)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=35
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[35]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[35] == '35'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 139846064958528)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=36
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[36]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[36] == '36'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 139846064959296)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- KeyValueManager pair at index=37
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[37]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[37] == '37'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 1  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora) == 1  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 139846064755328)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['norm_out'], accessed_by=DictGetItemGuardAccessor(norm_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out'], 99394624)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['norm_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out'].__dict__)  # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules) == 3             # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['silu'], 96881248)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['silu'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['linear'], 97167728)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['linear'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[6144, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[6144], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['norm_out']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._parameters                # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_hooks            # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_pre_hooks        # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=L['self']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['proj_out'], 97167728)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=L['self']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['proj_out'].__dict__)  # output = self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:549 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['proj_out']._parameters) == 2          # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[64, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[64], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=L['self'].training, accessed_by=GetAttrGuardAccessor(training)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(L['self'].training, 7629920)                  # if self.training and self.gradient_checkpointing:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:472 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=L['self']._parameters, accessed_by=GetAttrGuardAccessor(_parameters)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- DICT_LENGTH: not L['self']._parameters                                     # _parameters = self.__dict__["_parameters"]  # nn/modules/module.py:1904 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=L['self']._internal_dict, accessed_by=GetAttrGuardAccessor(_internal_dict)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- TYPE_MATCH: ___check_type_id(L['self']._internal_dict, 221665040)         # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'norm_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'proj_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'pos_embed')            # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'x_embedder')           # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'time_text_embed')      # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'context_embedder')     # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'transformer_blocks')   # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'single_transformer_blocks')  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['img_ids'], accessed_by=DictGetItemGuardAccessor(img_ids)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['img_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[4096, 3], stride=[3, 1])  # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['img_ids'], '_dynamo_dynamic_indices') == False     # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['txt_ids'], accessed_by=DictGetItemGuardAccessor(txt_ids)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['txt_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[512, 3], stride=[3, 1])  # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['txt_ids'], '_dynamo_dynamic_indices') == False     # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['guidance'], accessed_by=DictGetItemGuardAccessor(guidance)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['guidance'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[1], stride=[1])  # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['guidance'], '_dynamo_dynamic_indices') == False    # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['timestep'], accessed_by=DictGetItemGuardAccessor(timestep)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['timestep'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1], stride=[1])  # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['timestep'], '_dynamo_dynamic_indices') == False    # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['return_dict'], accessed_by=DictGetItemGuardAccessor(return_dict)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- ID_MATCH: ___check_obj_id(L['return_dict'], 7629920)                    # if not return_dict:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:555 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['hidden_states'], accessed_by=DictGetItemGuardAccessor(hidden_states)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 4096, 64], stride=[262144, 64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['pooled_projections'], accessed_by=DictGetItemGuardAccessor(pooled_projections)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['pooled_projections'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 768], stride=[768, 1])  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['pooled_projections'], '_dynamo_dynamic_indices') == False  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['encoder_hidden_states'], accessed_by=DictGetItemGuardAccessor(encoder_hidden_states)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- TENSOR_MATCH: check_tensor(L['encoder_hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 512, 4096], stride=[2097152, 4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_HASATTR: hasattr(L['encoder_hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['joint_attention_kwargs'], accessed_by=DictGetItemGuardAccessor(joint_attention_kwargs)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- ID_MATCH: ___check_obj_id(L['joint_attention_kwargs'], 7580768)         # if joint_attention_kwargs is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['controlnet_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_block_samples)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_block_samples'], 7580768)       # if controlnet_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:502 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=L['controlnet_single_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_single_block_samples)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_single_block_samples'], 7580768)  # if controlnet_single_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:538 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['USE_PEFT_BACKEND'], accessed_by=DictGetItemGuardAccessor(USE_PEFT_BACKEND)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['USE_PEFT_BACKEND'], 7629952)               # if USE_PEFT_BACKEND:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:434 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['scale_lora_layers'], accessed_by=DictGetItemGuardAccessor(scale_lora_layers)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['scale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['scale_lora_layers'].__code__, 139856000130016)  # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['unscale_lora_layers'], accessed_by=DictGetItemGuardAccessor(unscale_lora_layers)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['unscale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['unscale_lora_layers'].__code__, 139856000130192)  # unscale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:553 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__builtins_dict___2'], accessed_by=DictGetItemGuardAccessor(__builtins_dict___2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['int'], accessed_by=DictGetItemGuardAccessor(int)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['int'], 7592000)     # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['len'], accessed_by=DictGetItemGuardAccessor(len)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['len'], 139859477898240)  # assert len(timesteps.shape) == 1, "Timesteps should be a 1d-array"  # diffusers/src/diffusers/models/embeddings.py:54 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['set'], accessed_by=DictGetItemGuardAccessor(set)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['set'], 7574816)     # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['str'], accessed_by=DictGetItemGuardAccessor(str)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['str'], 7556320)     # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['bool'], accessed_by=DictGetItemGuardAccessor(bool)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['bool'], 7629504)    # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['iter'], accessed_by=DictGetItemGuardAccessor(iter)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['iter'], 139859477898160)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['range'], accessed_by=DictGetItemGuardAccessor(range)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['range'], 7576320)   # for i in range(n_axes):  # diffusers/src/diffusers/models/embeddings.py:628 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['slice'], accessed_by=DictGetItemGuardAccessor(slice)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['slice'], 7571168)   # if isinstance(idx, slice):  # nn/modules/container.py:331 in __getitem__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['super'], accessed_by=DictGetItemGuardAccessor(super)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['super'], 7562400)   # return super().__getattr__(name)  # diffusers/src/diffusers/models/modeling_utils.py:151 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['hasattr'], accessed_by=DictGetItemGuardAccessor(hasattr)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['hasattr'], 139859477897600)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['enumerate'], accessed_by=DictGetItemGuardAccessor(enumerate)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['enumerate'], 7452256)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__builtins_dict___2']['isinstance'], accessed_by=DictGetItemGuardAccessor(isinstance)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___2']['isinstance'], 139859477898000)  # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'], accessed_by=DictGetItemGuardAccessor(__import_peft_dot_tuners_dot_tuners_utils)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_peft_dot_tuners_dot_tuners_utils'], 139846567629904)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, accessed_by=GetAttrGuardAccessor(BaseTunerLayer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, 244527504)  # from peft.tuners.tuners_utils import BaseTunerLayer  # diffusers/src/diffusers/utils/peft_utils.py:113 in scale_lora_layers
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention'], 139846585526608)  # if len(args) > 0 or kwargs.get("scale", None) is not None:  # diffusers/src/diffusers/models/attention.py:1162 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_embeddings)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'], 139846586042224)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math, accessed_by=GetAttrGuardAccessor(math)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math, 139859475307632)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math.log, accessed_by=GetAttrGuardAccessor(log)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math.log, 139859474302592)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch, 139859475513072)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # if encoder_hidden_states.dtype == torch.float16:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:200 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # key = torch.cat([encoder_hidden_states_key_proj, key], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1756 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, accessed_by=GetAttrGuardAccessor(cat)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, 139859471507920)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, accessed_by=GetAttrGuardAccessor(cos)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, 139859471509120)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, accessed_by=GetAttrGuardAccessor(exp)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, 139859471510480)  # emb = torch.exp(exponent)  # diffusers/src/diffusers/models/embeddings.py:62 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, accessed_by=GetAttrGuardAccessor(sin)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, 139856572546480)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, accessed_by=GetAttrGuardAccessor(chunk)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, 139859471508080)  # scale, shift = torch.chunk(emb, 2, dim=1)  # diffusers/src/diffusers/models/normalization.py:305 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, accessed_by=GetAttrGuardAccessor(outer)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, 139856572571056)  # freqs = torch.outer(t, freqs)  # type: ignore   # [S, D/2]  # diffusers/src/diffusers/models/embeddings.py:552 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, accessed_by=GetAttrGuardAccessor(rsqrt)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, 139859471462208)  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, accessed_by=GetAttrGuardAccessor(stack)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, 139859471467760)  # x_rotated = torch.stack([-x_imag, x_real], dim=-1).flatten(3)  # diffusers/src/diffusers/models/embeddings.py:595 in apply_rotary_emb
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, accessed_by=GetAttrGuardAccessor(arange)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, 139859471382304)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float16, accessed_by=GetAttrGuardAccessor(float16)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float16 == torch.float16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float32, accessed_by=GetAttrGuardAccessor(float32)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float32 == torch.float32  # start=0, end=half_dim, dtype=torch.float32, device=timesteps.device  # diffusers/src/diffusers/models/embeddings.py:58 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float64, accessed_by=GetAttrGuardAccessor(float64)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float64 == torch.float64  # freqs_dtype = torch.float32 if is_mps else torch.float64  # diffusers/src/diffusers/models/embeddings.py:627 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16, accessed_by=GetAttrGuardAccessor(bfloat16)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16 == torch.bfloat16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, accessed_by=GetAttrGuardAccessor(from_numpy)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, 139859471373712)  # t = torch.from_numpy(pos).to(freqs.device)  # type: ignore  # [S]  # diffusers/src/diffusers/models/embeddings.py:551 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=GetAttrGuardAccessor(apply_rotary_emb)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, 139855833426912)  # from .embeddings import apply_rotary_emb  # diffusers/src/diffusers/models/attention_processor.py:1760 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], 7629952)  # if use_real:  # diffusers/src/diffusers/models/embeddings.py:586 in apply_rotary_emb
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1], accessed_by=GetItemGuardAccessor(1)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1] == -1  # if use_real_unbind_dim == -1:  # diffusers/src/diffusers/models/embeddings.py:592 in apply_rotary_emb
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=GetAttrGuardAccessor(get_timestep_embedding)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, 139855833348912)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3] == 10000  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=GetAttrGuardAccessor(get_1d_rotary_pos_embed)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, 139855833425856)  # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=FuncDefaultsGuardAccessor
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0] == 10000.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2], accessed_by=GetItemGuardAccessor(2)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2] == 1.0  # freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor  # [D/2]  # diffusers/src/diffusers/models/embeddings.py:550 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3] == 1.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'], 139856042419520)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F, 139856042421440)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, accessed_by=GetAttrGuardAccessor(gelu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, 139856049958000)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, accessed_by=GetAttrGuardAccessor(silu)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, 139856039794000)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, accessed_by=GetAttrGuardAccessor(linear)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, 139856049959216)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, accessed_by=GetAttrGuardAccessor(dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, 139856039777904)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, accessed_by=GetAttrGuardAccessor(layer_norm)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, 139856039795440)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, accessed_by=GetAttrGuardAccessor(scaled_dot_product_attention)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, 139856049962576)  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_module)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_module'], 139856045629904)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_pre_hooks)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_activations)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_activations'], 139855999915008)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_dropout)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_dropout'], 139856038787168)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_normalization)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_normalization'], 139846585727152)  # variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True)  # diffusers/src/diffusers/models/normalization.py:427 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_container)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'], 139856039033488)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator, accessed_by=GetAttrGuardAccessor(operator)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator, 139859476171088)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, accessed_by=GetAttrGuardAccessor(index)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, 139859476211968)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_modeling_utils'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_modeling_utils)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_modeling_utils'], 139855997135104)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_activation)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'], 139856042420880)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_normalization)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_normalization'], 139856038867568)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention_processor)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'], 139855999915568)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect, accessed_by=GetAttrGuardAccessor(inspect)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect, 139859475305312)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature, accessed_by=GetAttrGuardAccessor(signature)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, 139859474846800)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # key = torch.cat([encoder_hidden_states_key_proj, key], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1756 in __call__
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | +- GuardManager: source=G['torch'], accessed_by=DictGetItemGuardAccessor(torch)
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # if encoder_hidden_states.dtype == torch.float16:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:200 in forward
V0828 05:03:29.821048 1882310 torch/_dynamo/guards.py:2263] [0/1] [__guards] 
V0828 05:04:31.688316 1882310 torch/_dynamo/guards.py:2796] [0/2] [__recompiles] Recompiling function forward in /fsx/sayak/diffusers/src/diffusers/models/transformers/transformer_flux.py:388
V0828 05:04:31.688316 1882310 torch/_dynamo/guards.py:2796] [0/2] [__recompiles]     triggered by the following guard failure(s):
V0828 05:04:31.688316 1882310 torch/_dynamo/guards.py:2796] [0/2] [__recompiles]     - 0/1: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling) == 1  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:04:31.688316 1882310 torch/_dynamo/guards.py:2796] [0/2] [__recompiles]     - 0/0: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], 97167728)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.843203 1882310 torch/_dynamo/guards.py:2297] [0/2] [__guards] GUARDS:
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] 
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] TREE_GUARD_MANAGER:
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] +- RootGuardManager
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:471 in init_ambient_guards
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GLOBAL_STATE: ___check_global_state()
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['self'], accessed_by=DictGetItemGuardAccessor(self)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TYPE_MATCH: ___check_type_id(L['self'], 245047360)                        # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=L['self']._buffers, accessed_by=GetAttrGuardAccessor(_buffers)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- DICT_LENGTH: not L['self']._buffers                                        # _buffers = self.__dict__["_buffers"]  # nn/modules/module.py:1908 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=L['self']._modules, accessed_by=GetAttrGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- DICT_LENGTH: len(L['self']._modules) == 8                                  # modules = self.__dict__["_modules"]  # nn/modules/module.py:1912 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['pos_embed'], accessed_by=DictGetItemGuardAccessor(pos_embed)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'], 99356304)   # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['pos_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['pos_embed'].__dict__)  # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim, accessed_by=DictGetItemGuardAccessor(axes_dim)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['pos_embed'].axes_dim, 7569792)  # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- LENGTH_CHECK: len(L['self']._modules['pos_embed'].axes_dim) == 3            # self.axes_dim[i], pos[:, i], repeat_interleave_real=True, use_real=True, freqs_dtype=freqs_dtype  # diffusers/src/diffusers/models/embeddings.py:630 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[0] == 16             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[1], accessed_by=TupleGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[1] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['pos_embed'].axes_dim[2], accessed_by=TupleGetItemGuardAccessor(2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- EQUALS_MATCH: L['self']._modules['pos_embed'].axes_dim[2] == 56             # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_hooks           # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['pos_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['pos_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['pos_embed']._backward_pre_hooks       # image_rotary_emb = self.pos_embed(ids)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:469 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['time_text_embed'], accessed_by=DictGetItemGuardAccessor(time_text_embed)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed'], 99372448)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['time_text_embed'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed'].__dict__)  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules) == 4      # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'], accessed_by=DictGetItemGuardAccessor(time_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['time_proj'], 99358192)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['time_proj'].__dict__)  # guidance_proj = self.time_proj(guidance)  # diffusers/src/diffusers/models/embeddings.py:994 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].scale, accessed_by=DictGetItemGuardAccessor(scale)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].scale == 1  # emb = scale * emb  # diffusers/src/diffusers/models/embeddings.py:66 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].num_channels, accessed_by=DictGetItemGuardAccessor(num_channels)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].num_channels == 256  # half_dim = embedding_dim // 2  # diffusers/src/diffusers/models/embeddings.py:56 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, accessed_by=DictGetItemGuardAccessor(flip_sin_to_cos)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['time_proj'].flip_sin_to_cos, 7629952)  # if flip_sin_to_cos:  # diffusers/src/diffusers/models/embeddings.py:72 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['time_proj']._backward_pre_hooks  # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift, accessed_by=DictGetItemGuardAccessor(downscale_freq_shift)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['time_text_embed']._modules['time_proj'].downscale_freq_shift == 0  # exponent = exponent / (half_dim - downscale_freq_shift)  # diffusers/src/diffusers/models/embeddings.py:60 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'], accessed_by=DictGetItemGuardAccessor(timestep_embedder)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'], 99357248)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder'].__dict__)  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['img_ids'], L['txt_ids'], L['guidance'], L['timestep'], L['hidden_states'], L['pooled_projections'], L['encoder_hidden_states'], L['self']._modules['proj_out']._parameters['bias'], L['self']._modules['proj_out']._parameters['weight'], L['self']._modules['x_embedder']._parameters['bias'], L['self']._modules['x_embedder']._parameters['weight'], L['self']._modules['context_embedder']._parameters['bias'], L['self']._modules['context_embedder']._parameters['weight'], L['self']._modules['norm_out']._modules['linear']._parameters['bias'], L['self']._modules['norm_out']._modules['linear']._parameters['weight'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['weight'], L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], 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L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'])
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'], 96881248)  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].__dict__)  # sample = self.act(sample)  # diffusers/src/diffusers/models/embeddings.py:678 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['timestep_embedder']._backward_pre_hooks  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['timestep_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'], accessed_by=DictGetItemGuardAccessor(guidance_embedder)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'], 99357248)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder'].__dict__)  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules) == 3  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'], 97167728)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1'].__dict__)  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 256], stride=[256, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act'], accessed_by=DictGetItemGuardAccessor(act)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- OBJECT_ALIASING: L['self']._modules['time_text_embed']._modules['timestep_embedder']._modules['act'] is L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['act']  # if self.act is not None:  # diffusers/src/diffusers/models/embeddings.py:677 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'], 97167728)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2'].__dict__)  # sample = self.linear_2(sample)  # diffusers/src/diffusers/models/embeddings.py:680 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['guidance_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, accessed_by=DictGetItemGuardAccessor(post_act)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].post_act, 7580768)  # if self.post_act is not None:  # diffusers/src/diffusers/models/embeddings.py:682 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._parameters  # sample = self.linear_1(sample)  # diffusers/src/diffusers/models/embeddings.py:675 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['guidance_embedder']._backward_pre_hooks  # guidance_emb = self.guidance_embedder(guidance_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:995 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['guidance_embedder'].__class__.forward.__defaults__[0], 7580768)  # if condition is not None:  # diffusers/src/diffusers/models/embeddings.py:673 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'], accessed_by=DictGetItemGuardAccessor(text_embedder)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder'], 100455248)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder'].__dict__)  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules) == 3  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], accessed_by=DictGetItemGuardAccessor(linear_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'], 97167728)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1'].__dict__)  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 768], stride=[768, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], accessed_by=DictGetItemGuardAccessor(act_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'], 96881248)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].__dict__)  # hidden_states = self.act_1(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1443 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['act_1'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], accessed_by=DictGetItemGuardAccessor(linear_2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'], 97167728)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2'].__dict__)  # hidden_states = self.linear_2(hidden_states)  # diffusers/src/diffusers/models/embeddings.py:1444 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['time_text_embed']._modules['text_embedder']._modules['linear_2']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._parameters  # hidden_states = self.linear_1(caption)  # diffusers/src/diffusers/models/embeddings.py:1442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._modules['text_embedder']._backward_pre_hooks  # pooled_projections = self.text_embedder(pooled_projection)  # diffusers/src/diffusers/models/embeddings.py:999 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._parameters         # timesteps_proj = self.time_proj(timestep)  # diffusers/src/diffusers/models/embeddings.py:991 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_hooks     # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['time_text_embed']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['time_text_embed']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['time_text_embed']._backward_pre_hooks  # else self.time_text_embed(timestep, guidance, pooled_projections)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:452 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['context_embedder'], accessed_by=DictGetItemGuardAccessor(context_embedder)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['context_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['context_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['context_embedder'].__dict__)  # encoder_hidden_states = self.context_embedder(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:454 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['context_embedder']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 4096], stride=[4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['context_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['context_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['x_embedder'], accessed_by=DictGetItemGuardAccessor(x_embedder)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['x_embedder'], 97167728)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['x_embedder'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['x_embedder'].__dict__)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['x_embedder']._parameters) == 2        # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 64], stride=[64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['x_embedder']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['x_embedder']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['transformer_blocks'], accessed_by=DictGetItemGuardAccessor(transformer_blocks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['attn'].processor, 139846062622704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['0']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['attn'].processor, 139846062624576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['1']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['attn'].processor, 139846063044304)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['2']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[3]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['attn'].processor, 139846063046176)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['3']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[4]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['attn'].processor, 139846066996704)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['4']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[5]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['attn'].processor, 139846066998768)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['5']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[6]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['attn'].processor, 139846062908992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['6']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[7]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['attn'].processor, 139846062911056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['7']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[8]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['attn'].processor, 139846069991072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['8']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[9]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['attn'].processor, 139846069993136)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['9']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[10]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['attn'].processor, 139846069233408)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['10']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[11]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['attn'].processor, 139846069235472)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['11']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[12]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['attn'].processor, 139846069036896)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['12']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[13]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['attn'].processor, 139846069038960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['13']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[14]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['attn'].processor, 139846068848576)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['14']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[15]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['attn'].processor, 139846068850640)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['15']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[16]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['attn'].processor, 139846068639824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['16']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[17]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['attn'].processor, 139846067916960)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['17']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules.keys())[18]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18'], 247975168)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18'].__dict__)  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules) == 7  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], accessed_by=DictGetItemGuardAccessor(norm1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'], 99411648)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].__dict__)  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1']._backward_pre_hooks  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], accessed_by=DictGetItemGuardAccessor(norm1_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'], 99411648)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].__dict__)  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, accessed_by=DictGetItemGuardAccessor(emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context'].emb, 7580768)  # if self.emb is not None:  # diffusers/src/diffusers/models/normalization.py:135 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[18432], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[18432, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:139 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:137 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['norm1_context']._backward_pre_hooks  # norm_encoder_hidden_states, c_gate_msa, c_shift_mlp, c_scale_mlp, c_gate_mlp = self.norm1_context(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:167 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules) == 12  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], accessed_by=DictGetItemGuardAccessor(add_k_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'], 244529984)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].__dict__)  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_k_proj']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.add_k_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1736 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], accessed_by=DictGetItemGuardAccessor(add_v_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'], 244529984)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].__dict__)  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_v_proj']._backward_pre_hooks  # encoder_hidden_states_value_proj = attn.add_v_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1737 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], accessed_by=DictGetItemGuardAccessor(add_q_proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'], 244529984)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].__dict__)  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['add_q_proj']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.add_q_proj(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1735 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], accessed_by=DictGetItemGuardAccessor(to_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'], 96863792)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules) == 2  # return len(self._modules)  # nn/modules/container.py:352 in __len__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], accessed_by=DictGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'], 244529984)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].__dict__)  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['0']._backward_pre_hooks  # hidden_states = attn.to_out[0](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1776 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], accessed_by=DictGetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'], 97677440)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].__dict__)  # hidden_states = attn.to_out[1](hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1778 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_out']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], accessed_by=DictGetItemGuardAccessor(to_add_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'], 244529984)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].__dict__)  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['to_add_out']._backward_pre_hooks  # encoder_hidden_states = attn.to_add_out(encoder_hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1779 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], accessed_by=DictGetItemGuardAccessor(norm_added_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'], 99397456)  # if attn.norm_added_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1749 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].__dict__)  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_q']._backward_pre_hooks  # encoder_hidden_states_query_proj = attn.norm_added_q(encoder_hidden_states_query_proj)  # diffusers/src/diffusers/models/attention_processor.py:1750 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], accessed_by=DictGetItemGuardAccessor(norm_added_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'], 99397456)  # if attn.norm_added_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1751 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].__dict__)  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._modules['norm_added_k']._backward_pre_hooks  # encoder_hidden_states_key_proj = attn.norm_added_k(encoder_hidden_states_key_proj)  # diffusers/src/diffusers/models/attention_processor.py:1752 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['attn'].processor, 139846067919072)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output, context_attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:172 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], accessed_by=DictGetItemGuardAccessor(norm2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'], 98072640)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].__dict__)  # norm_hidden_states = self.norm2(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:182 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], accessed_by=DictGetItemGuardAccessor(ff)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff'], 239927888)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff'].__dict__)  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff']._backward_pre_hooks  # ff_output = self.ff(norm_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:185 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], accessed_by=DictGetItemGuardAccessor(norm2_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'], 98072640)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].__dict__)  # norm_encoder_hidden_states = self.norm2_context(encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:195 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['norm2_context'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], accessed_by=DictGetItemGuardAccessor(ff_context)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'], 239927888)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context'].__dict__)  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules) == 1  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], accessed_by=DictGetItemGuardAccessor(net)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'], 96863792)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']) == 3  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'], 236152192)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules) == 1  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], accessed_by=DictGetItemGuardAccessor(proj)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'], 244529984)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].__dict__)  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._modules['proj']._backward_pre_hooks  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._parameters  # hidden_states = self.proj(hidden_states)  # diffusers/src/diffusers/models/activations.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0'].approximate == 'tanh'  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['0']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'], 97677440)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p, accessed_by=DictGetItemGuardAccessor(p)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].p == 0.0  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].inplace, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, accessed_by=DictGetItemGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['1'].training, 7629920)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'], 244529984)  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].__dict__)  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 12288], stride=[12288, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 12288], stride=[12288, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._modules['net']._modules['2']._backward_pre_hooks  # hidden_states = module(hidden_states)  # diffusers/src/diffusers/models/attention.py:1166 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._parameters  # for module in self.net:  # diffusers/src/diffusers/models/attention.py:1165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._modules['ff_context']._backward_pre_hooks  # context_ff_output = self.ff_context(norm_encoder_hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:198 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate_msa, shift_mlp, scale_mlp, gate_mlp = self.norm1(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:165 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['transformer_blocks']._modules['18']._backward_pre_hooks  # encoder_hidden_states, hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:494 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'], accessed_by=DictGetItemGuardAccessor(single_transformer_blocks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks'], 96863792)  # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[0] == '0'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].processor, 139846067704112)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['0']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['0']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[1] == '1'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].processor, 139846067704880)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['1']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['1']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=2
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[2]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[2] == '2'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].processor, 139846067705648)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['2']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['2']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=3
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[3]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[3] == '3'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].processor, 139846067706416)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['3']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['3']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=4
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[4]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[4] == '4'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].processor, 139846067707184)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['4']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['4']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=5
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[5]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[5] == '5'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].processor, 139846067507312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['5']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['5']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=6
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[6]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[6] == '6'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].processor, 139846067508080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['6']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['6']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=7
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[7]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[7] == '7'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].processor, 139846067508848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['7']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['7']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=8
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[8]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[8] == '8'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].processor, 139846067509616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['8']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['8']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=9
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[9]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[9] == '9'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].processor, 139846067510384)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['9']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['9']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=10
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[10]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[10] == '10'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].processor, 139846067511152)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['10']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['10']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=11
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[11]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[11] == '11'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].processor, 139846066291424)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['11']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['11']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=12
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[12]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[12] == '12'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].processor, 139846066292288)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['12']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['12']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=13
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[13]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[13] == '13'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].processor, 139846066293056)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['13']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['13']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=14
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[14]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[14] == '14'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].processor, 139846066293824)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['14']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['14']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=15
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[15]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[15] == '15'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].processor, 139846066294592)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['15']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['15']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=16
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[16]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[16] == '16'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].processor, 139846066090624)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['16']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['16']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=17
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[17]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[17] == '17'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].processor, 139846066091392)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['17']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['17']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=18
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[18]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[18] == '18'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].processor, 139846066092160)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['18']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['18']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=19
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[19]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[19] == '19'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].processor, 139846066092928)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['19']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['19']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=20
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[20]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[20] == '20'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].processor, 139846066093696)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['20']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['20']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=21
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[21]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[21] == '21'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].processor, 139846065365440)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['21']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['21']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=22
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[22]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[22] == '22'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].processor, 139846065366208)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['22']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['22']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=23
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[23]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[23] == '23'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].processor, 139846065366976)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['23']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['23']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=24
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[24]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[24] == '24'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].processor, 139846065367744)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['24']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['24']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=25
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[25]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[25] == '25'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].processor, 139846065368512)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['25']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['25']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=26
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[26]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[26] == '26'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].processor, 139846065164544)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['26']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['26']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=27
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[27]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[27] == '27'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].processor, 139846065165312)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['27']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['27']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=28
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[28]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[28] == '28'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].processor, 139846065166080)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['28']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['28']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=29
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[29]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[29] == '29'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].processor, 139846065166848)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['29']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['29']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=30
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[30]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[30] == '30'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].processor, 139846065167616)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['30']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['30']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=31
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[31]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[31] == '31'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].processor, 139846064955456)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['31']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['31']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=32
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[32]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[32] == '32'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].processor, 139846064956224)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['32']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['32']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=33
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[33]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[33] == '33'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].processor, 139846064956992)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['33']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['33']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=34
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[34]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[34] == '34'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].processor, 139846064957760)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['34']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['34']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=35
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[35]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[35] == '35'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].processor, 139846064958528)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['35']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['35']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=36
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[36]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[36] == '36'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].processor, 139846064959296)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['36']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['36']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- KeyValueManager pair at index=37
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules.keys())[37]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules.keys())[37] == '37'  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37'], 247974224)  # for index_block, block in enumerate(self.single_transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37'].__dict__)  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules) == 5  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'], 99413712)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm'].__dict__)  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules) == 3  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'], 96881248)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'], 244529984)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].__dict__)  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[9216], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[9216, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['linear']._backward_pre_hooks  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale_msa[:, None]) + shift_msa[:, None]  # diffusers/src/diffusers/models/normalization.py:171 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._parameters  # emb = self.linear(self.silu(emb))  # diffusers/src/diffusers/models/normalization.py:169 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['norm']._backward_pre_hooks  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], accessed_by=DictGetItemGuardAccessor(proj_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'], 244529984)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[12288], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[12288, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_mlp']._backward_pre_hooks  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], accessed_by=DictGetItemGuardAccessor(act_mlp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'], 96844336)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].__dict__)  # mlp_hidden_states = self.act_mlp(self.proj_mlp(norm_hidden_states))  # diffusers/src/diffusers/models/transformers/transformer_flux.py:89 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate, accessed_by=DictGetItemGuardAccessor(approximate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['act_mlp'].approximate == 'tanh'  # return F.gelu(input, approximate=self.approximate)  # nn/modules/activation.py:734 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'], 244529984)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].__dict__)  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 15360], stride=[15360, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 15360], stride=[15360, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['proj_out']._backward_pre_hooks  # hidden_states = gate * self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:98 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], accessed_by=DictGetItemGuardAccessor(attn)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'], 239601328)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__dict__)  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads, accessed_by=DictGetItemGuardAccessor(heads)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].heads == 24  # head_dim = inner_dim // attn.heads  # diffusers/src/diffusers/models/attention_processor.py:1721 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules) == 5  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], accessed_by=DictGetItemGuardAccessor(norm_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'], 99397456)  # if attn.norm_q is not None:  # diffusers/src/diffusers/models/attention_processor.py:1727 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].__dict__)  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_q']._backward_pre_hooks  # query = attn.norm_q(query)  # diffusers/src/diffusers/models/attention_processor.py:1728 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], accessed_by=DictGetItemGuardAccessor(norm_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'], 99397456)  # if attn.norm_k is not None:  # diffusers/src/diffusers/models/attention_processor.py:1729 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].__dict__)  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k'].eps == 1e-06  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters) == 1  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[128], stride=[1])  # if self.weight is not None:  # diffusers/src/diffusers/models/normalization.py:430 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['norm_k']._backward_pre_hooks  # key = attn.norm_k(key)  # diffusers/src/diffusers/models/attention_processor.py:1730 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], accessed_by=DictGetItemGuardAccessor(to_q)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'], 244529984)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].__dict__)  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_q']._backward_pre_hooks  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], accessed_by=DictGetItemGuardAccessor(to_k)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'], 244529984)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].__dict__)  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_k']._backward_pre_hooks  # key = attn.to_k(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1717 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], accessed_by=DictGetItemGuardAccessor(to_v)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'], 244529984)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].__dict__)  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling, accessed_by=DictGetItemGuardAccessor(scaling)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling) == 2  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling['default_0'] == 1.0  # scaling = self.scaling[active_adapter]  # peft/tuners/lora/layer.py:505 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].scaling['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules) == 6  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'], accessed_by=DictGetItemGuardAccessor(base_layer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'], 97167728)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer'].__dict__)  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['base_layer']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[3072], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'], accessed_by=DictGetItemGuardAccessor(lora_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'], 96865328)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'], 97271760)  # dropout = self.lora_dropout[active_adapter]  # peft/tuners/lora/layer.py:504 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_dropout']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'], accessed_by=DictGetItemGuardAccessor(lora_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'], 96865328)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- DictGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=0
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[0] == 'default_0'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- ValueManager: GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'], 97167728)  # if active_adapter not in self.lora_A.keys():  # peft/tuners/lora/layer.py:500 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters) == 2  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[16, 3072], stride=[3072, 1])  # x = x.to(lora_A.weight.dtype)  # peft/tuners/lora/layer.py:506 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- KeyValueManager pair at index=1
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- KeyManager: GuardManager: source=list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1]
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: list(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_A']._modules.keys())[1] == 'default_1'  # return self._modules.keys()  # nn/modules/container.py:539 in keys
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'], accessed_by=DictGetItemGuardAccessor(lora_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'], 96865328)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules) == 2  # return self._modules[key]  # nn/modules/container.py:502 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'], 97167728)  # lora_B = self.lora_B[active_adapter]  # peft/tuners/lora/layer.py:503 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0'].__dict__)  # result = result + lora_B(lora_A(dropout(x))) * scaling  # peft/tuners/lora/layer.py:509 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=True, size=[3072, 16], stride=[16, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_0']._parameters['bias'], 7580768)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_B']._modules['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_embedding_A'], accessed_by=DictGetItemGuardAccessor(lora_embedding_A)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._modules['lora_embedding_B'], accessed_by=DictGetItemGuardAccessor(lora_embedding_B)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora, accessed_by=DictGetItemGuardAccessor(use_dora)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora) == 2  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora['default_0'], accessed_by=DictGetItemGuardAccessor(default_0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora['default_0'], 7629920)  # if not self.use_dora[active_adapter]:  # peft/tuners/lora/layer.py:508 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].use_dora['default_1'], accessed_by=DictGetItemGuardAccessor(default_1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._parameters  # result = self.base_layer(x, *args, **kwargs)  # peft/tuners/lora/layer.py:497 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter, accessed_by=DictGetItemGuardAccessor(_active_adapter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter, 7593792)  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter) == 1  # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter[0], accessed_by=ListGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._active_adapter[0] == 'default_0'  # for active_adapter in self.active_adapters:  # peft/tuners/lora/layer.py:499 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters, accessed_by=DictGetItemGuardAccessor(merged_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters, 7593792)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- LENGTH_CHECK: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v'].merged_adapters  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._disable_adapters, accessed_by=DictGetItemGuardAccessor(_disable_adapters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._disable_adapters, 7629920)  # if self.disable_adapters:  # peft/tuners/lora/layer.py:488 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._modules['to_v']._backward_pre_hooks  # value = attn.to_v(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1718 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, accessed_by=DictGetItemGuardAccessor(processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 239395136)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].processor, 139846064755328)  # return self.processor(  # diffusers/src/diffusers/models/attention_processor.py:490 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._parameters  # query = attn.to_q(hidden_states)  # diffusers/src/diffusers/models/attention_processor.py:1716 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn']._backward_pre_hooks  # attn_output = self.attn(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:91 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__, accessed_by=GetAttrGuardAccessor(__class__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=GetAttrGuardAccessor(forward)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['single_transformer_blocks']._modules['37']._modules['attn'].__class__.forward.__defaults__[0], 7580768)  # batch_size, _, _ = hidden_states.shape if encoder_hidden_states is None else encoder_hidden_states.shape  # diffusers/src/diffusers/models/attention_processor.py:1713 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._parameters  # norm_hidden_states, gate = self.norm(hidden_states, emb=temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:88 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DictSubclassGuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- DICT_LENGTH: not L['self']._modules['single_transformer_blocks']._modules['37']._backward_pre_hooks  # hidden_states = block(  # diffusers/src/diffusers/models/transformers/transformer_flux.py:531 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['norm_out'], accessed_by=DictGetItemGuardAccessor(norm_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out'], 99394624)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['norm_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out'].__dict__)  # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules, accessed_by=DictGetItemGuardAccessor(_modules)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules) == 3             # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'], accessed_by=DictGetItemGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['silu'], 96881248)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['silu'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['silu'].inplace, accessed_by=DictGetItemGuardAccessor(inplace)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['silu'].inplace, 7629920)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'], accessed_by=DictGetItemGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['linear'], 97167728)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['linear'].__dict__)  # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['linear']._parameters) == 2  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[6144, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['linear']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['norm_out']._modules['linear']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[6144], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'], accessed_by=DictGetItemGuardAccessor(norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'], 98072640)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['norm_out']._modules['norm'].__dict__)  # x = self.norm(x) * (1 + scale)[:, None, :] + shift[:, None, :]  # diffusers/src/diffusers/models/normalization.py:306 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].eps, accessed_by=DictGetItemGuardAccessor(eps)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].eps == 1e-06  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- DICT_LENGTH: len(L['self']._modules['norm_out']._modules['norm']._parameters) == 2  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['weight'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- ID_MATCH: ___check_obj_id(L['self']._modules['norm_out']._modules['norm']._parameters['bias'], 7580768)  # input, self.normalized_shape, self.weight, self.bias, self.eps  # nn/modules/normalization.py:218 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape, accessed_by=DictGetItemGuardAccessor(normalized_shape)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['norm_out']._modules['norm'].normalized_shape, 7569792)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- LENGTH_CHECK: len(L['self']._modules['norm_out']._modules['norm'].normalized_shape) == 1  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | +- GuardManager: source=L['self']._modules['norm_out']._modules['norm'].normalized_shape[0], accessed_by=TupleGetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | | | | +- EQUALS_MATCH: L['self']._modules['norm_out']._modules['norm'].normalized_shape[0] == 3072  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._parameters                # emb = self.linear(self.silu(conditioning_embedding).to(x.dtype))  # diffusers/src/diffusers/models/normalization.py:304 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_hooks, accessed_by=DictGetItemGuardAccessor(_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_hooks, accessed_by=DictGetItemGuardAccessor(_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_hooks            # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DictSubclassGuardManager: source=L['self']._modules['norm_out']._forward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['norm_out']._backward_pre_hooks, accessed_by=DictGetItemGuardAccessor(_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: not L['self']._modules['norm_out']._backward_pre_hooks        # hidden_states = self.norm_out(hidden_states, temb)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:548 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=L['self']._modules['proj_out'], accessed_by=DictGetItemGuardAccessor(proj_out)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['proj_out'], 97167728)    # if name in modules:  # nn/modules/module.py:1913 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=L['self']._modules['proj_out'].__dict__, accessed_by=GetGenericDictGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['proj_out'].__dict__)  # output = self.proj_out(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:549 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters, accessed_by=DictGetItemGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- DICT_LENGTH: len(L['self']._modules['proj_out']._parameters) == 2          # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['weight'], accessed_by=DictGetItemGuardAccessor(weight)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[64, 3072], stride=[3072, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- GuardManager: source=L['self']._modules['proj_out']._parameters['bias'], accessed_by=DictGetItemGuardAccessor(bias)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['proj_out']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[64], stride=[1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=L['self'].training, accessed_by=GetAttrGuardAccessor(training)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(L['self'].training, 7629920)                  # if self.training and self.gradient_checkpointing:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:472 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=L['self']._parameters, accessed_by=GetAttrGuardAccessor(_parameters)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- DICT_LENGTH: not L['self']._parameters                                     # _parameters = self.__dict__["_parameters"]  # nn/modules/module.py:1904 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=L['self']._internal_dict, accessed_by=GetAttrGuardAccessor(_internal_dict)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- TYPE_MATCH: ___check_type_id(L['self']._internal_dict, 221665040)         # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'norm_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'proj_out')             # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'pos_embed')            # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'x_embedder')           # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'time_text_embed')      # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'context_embedder')     # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'transformer_blocks')   # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- NO_HASATTR: not hasattr(L['self']._internal_dict, 'single_transformer_blocks')  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['img_ids'], accessed_by=DictGetItemGuardAccessor(img_ids)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['img_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[4096, 3], stride=[3, 1])  # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['img_ids'], '_dynamo_dynamic_indices') == False     # if img_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:462 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['txt_ids'], accessed_by=DictGetItemGuardAccessor(txt_ids)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['txt_ids'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[512, 3], stride=[3, 1])  # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['txt_ids'], '_dynamo_dynamic_indices') == False     # if txt_ids.ndim == 3:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:456 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['guidance'], accessed_by=DictGetItemGuardAccessor(guidance)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['guidance'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[1], stride=[1])  # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['guidance'], '_dynamo_dynamic_indices') == False    # if guidance is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:445 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['timestep'], accessed_by=DictGetItemGuardAccessor(timestep)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['timestep'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1], stride=[1])  # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['timestep'], '_dynamo_dynamic_indices') == False    # timestep = timestep.to(hidden_states.dtype) * 1000  # diffusers/src/diffusers/models/transformers/transformer_flux.py:444 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['return_dict'], accessed_by=DictGetItemGuardAccessor(return_dict)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- ID_MATCH: ___check_obj_id(L['return_dict'], 7629920)                    # if not return_dict:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:555 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['hidden_states'], accessed_by=DictGetItemGuardAccessor(hidden_states)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 4096, 64], stride=[262144, 64, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['pooled_projections'], accessed_by=DictGetItemGuardAccessor(pooled_projections)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['pooled_projections'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 768], stride=[768, 1])  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['pooled_projections'], '_dynamo_dynamic_indices') == False  # timesteps_emb = self.timestep_embedder(timesteps_proj.to(dtype=pooled_projection.dtype))  # (N, D)  # diffusers/src/diffusers/models/embeddings.py:992 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['encoder_hidden_states'], accessed_by=DictGetItemGuardAccessor(encoder_hidden_states)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- TENSOR_MATCH: check_tensor(L['encoder_hidden_states'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.bfloat16, device=0, requires_grad=False, size=[1, 512, 4096], stride=[2097152, 4096, 1])  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_HASATTR: hasattr(L['encoder_hidden_states'], '_dynamo_dynamic_indices') == False  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- NO_TENSOR_ALIASING
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['joint_attention_kwargs'], accessed_by=DictGetItemGuardAccessor(joint_attention_kwargs)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- ID_MATCH: ___check_obj_id(L['joint_attention_kwargs'], 7580768)         # if joint_attention_kwargs is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['controlnet_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_block_samples)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_block_samples'], 7580768)       # if controlnet_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:502 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=L['controlnet_single_block_samples'], accessed_by=DictGetItemGuardAccessor(controlnet_single_block_samples)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- ID_MATCH: ___check_obj_id(L['controlnet_single_block_samples'], 7580768)  # if controlnet_single_block_samples is not None:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:538 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['USE_PEFT_BACKEND'], accessed_by=DictGetItemGuardAccessor(USE_PEFT_BACKEND)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['USE_PEFT_BACKEND'], 7629952)               # if USE_PEFT_BACKEND:  # diffusers/src/diffusers/models/transformers/transformer_flux.py:434 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['scale_lora_layers'], accessed_by=DictGetItemGuardAccessor(scale_lora_layers)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['scale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['scale_lora_layers'].__code__, 139856000130016)  # scale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:436 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['unscale_lora_layers'], accessed_by=DictGetItemGuardAccessor(unscale_lora_layers)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['unscale_lora_layers'].__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['unscale_lora_layers'].__code__, 139856000130192)  # unscale_lora_layers(self, lora_scale)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:553 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__builtins_dict___4'], accessed_by=DictGetItemGuardAccessor(__builtins_dict___4)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['int'], accessed_by=DictGetItemGuardAccessor(int)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['int'], 7592000)     # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['len'], accessed_by=DictGetItemGuardAccessor(len)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['len'], 139859477898240)  # assert len(timesteps.shape) == 1, "Timesteps should be a 1d-array"  # diffusers/src/diffusers/models/embeddings.py:54 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['set'], accessed_by=DictGetItemGuardAccessor(set)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['set'], 7574816)     # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['str'], accessed_by=DictGetItemGuardAccessor(str)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['str'], 7556320)     # if isinstance(self.active_adapter, str):  # peft/tuners/tuners_utils.py:469 in active_adapters
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['bool'], accessed_by=DictGetItemGuardAccessor(bool)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['bool'], 7629504)    # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['iter'], accessed_by=DictGetItemGuardAccessor(iter)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['iter'], 139859477898160)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['range'], accessed_by=DictGetItemGuardAccessor(range)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['range'], 7576320)   # for i in range(n_axes):  # diffusers/src/diffusers/models/embeddings.py:628 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['slice'], accessed_by=DictGetItemGuardAccessor(slice)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['slice'], 7571168)   # if isinstance(idx, slice):  # nn/modules/container.py:331 in __getitem__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['super'], accessed_by=DictGetItemGuardAccessor(super)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['super'], 7562400)   # return super().__getattr__(name)  # diffusers/src/diffusers/models/modeling_utils.py:151 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['hasattr'], accessed_by=DictGetItemGuardAccessor(hasattr)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['hasattr'], 139859477897600)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['enumerate'], accessed_by=DictGetItemGuardAccessor(enumerate)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['enumerate'], 7452256)  # for index_block, block in enumerate(self.transformer_blocks):  # diffusers/src/diffusers/models/transformers/transformer_flux.py:471 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__builtins_dict___4']['isinstance'], accessed_by=DictGetItemGuardAccessor(isinstance)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__builtins_dict___4']['isinstance'], 139859477898000)  # if isinstance(pos, int):  # diffusers/src/diffusers/models/embeddings.py:547 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'], accessed_by=DictGetItemGuardAccessor(__import_peft_dot_tuners_dot_tuners_utils)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_peft_dot_tuners_dot_tuners_utils'], 139846567629904)  # return bool(self.merged_adapters)  # peft/tuners/tuners_utils.py:455 in merged
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, accessed_by=GetAttrGuardAccessor(BaseTunerLayer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_peft_dot_tuners_dot_tuners_utils'].BaseTunerLayer, 244527504)  # from peft.tuners.tuners_utils import BaseTunerLayer  # diffusers/src/diffusers/utils/peft_utils.py:113 in scale_lora_layers
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention'], 139846585526608)  # if len(args) > 0 or kwargs.get("scale", None) is not None:  # diffusers/src/diffusers/models/attention.py:1162 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_embeddings)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'], 139846586042224)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math, accessed_by=GetAttrGuardAccessor(math)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math, 139859475307632)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].math.log, accessed_by=GetAttrGuardAccessor(log)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].math.log, 139859474302592)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch, 139859475513072)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # ids = torch.cat((txt_ids, img_ids), dim=0)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:468 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # query = torch.cat([encoder_hidden_states_query_proj, query], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1755 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, accessed_by=GetAttrGuardAccessor(cat)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cat, 139859471507920)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, accessed_by=GetAttrGuardAccessor(cos)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.cos, 139859471509120)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, accessed_by=GetAttrGuardAccessor(exp)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.exp, 139859471510480)  # emb = torch.exp(exponent)  # diffusers/src/diffusers/models/embeddings.py:62 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, accessed_by=GetAttrGuardAccessor(sin)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.sin, 139856572546480)  # emb = torch.cat([torch.sin(emb), torch.cos(emb)], dim=-1)  # diffusers/src/diffusers/models/embeddings.py:69 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, accessed_by=GetAttrGuardAccessor(chunk)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.chunk, 139859471508080)  # scale, shift = torch.chunk(emb, 2, dim=1)  # diffusers/src/diffusers/models/normalization.py:305 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, accessed_by=GetAttrGuardAccessor(outer)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.outer, 139856572571056)  # freqs = torch.outer(t, freqs)  # type: ignore   # [S, D/2]  # diffusers/src/diffusers/models/embeddings.py:552 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, accessed_by=GetAttrGuardAccessor(rsqrt)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.rsqrt, 139859471462208)  # hidden_states = hidden_states * torch.rsqrt(variance + self.eps)  # diffusers/src/diffusers/models/normalization.py:428 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, accessed_by=GetAttrGuardAccessor(stack)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.stack, 139859471467760)  # x_rotated = torch.stack([-x_imag, x_real], dim=-1).flatten(3)  # diffusers/src/diffusers/models/embeddings.py:595 in apply_rotary_emb
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, accessed_by=GetAttrGuardAccessor(arange)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.arange, 139859471382304)  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float16, accessed_by=GetAttrGuardAccessor(float16)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float16 == torch.float16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float32, accessed_by=GetAttrGuardAccessor(float32)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float32 == torch.float32  # start=0, end=half_dim, dtype=torch.float32, device=timesteps.device  # diffusers/src/diffusers/models/embeddings.py:58 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.float64, accessed_by=GetAttrGuardAccessor(float64)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.float64 == torch.float64  # freqs_dtype = torch.float32 if is_mps else torch.float64  # diffusers/src/diffusers/models/embeddings.py:627 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16, accessed_by=GetAttrGuardAccessor(bfloat16)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].torch.bfloat16 == torch.bfloat16  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, accessed_by=GetAttrGuardAccessor(from_numpy)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].torch.from_numpy, 139859471373712)  # t = torch.from_numpy(pos).to(freqs.device)  # type: ignore  # [S]  # diffusers/src/diffusers/models/embeddings.py:551 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=GetAttrGuardAccessor(apply_rotary_emb)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__code__, 139855833426912)  # from .embeddings import apply_rotary_emb  # diffusers/src/diffusers/models/attention_processor.py:1760 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[0], 7629952)  # if use_real:  # diffusers/src/diffusers/models/embeddings.py:586 in apply_rotary_emb
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1], accessed_by=GetItemGuardAccessor(1)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].apply_rotary_emb.__defaults__[1] == -1  # if use_real_unbind_dim == -1:  # diffusers/src/diffusers/models/embeddings.py:592 in apply_rotary_emb
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=GetAttrGuardAccessor(get_timestep_embedding)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__code__, 139855833348912)  # t_emb = get_timestep_embedding(  # diffusers/src/diffusers/models/embeddings.py:696 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_timestep_embedding.__defaults__[3] == 10000  # exponent = -math.log(max_period) * torch.arange(  # diffusers/src/diffusers/models/embeddings.py:57 in get_timestep_embedding
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=GetAttrGuardAccessor(get_1d_rotary_pos_embed)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__code__, 139855833425856)  # cos, sin = get_1d_rotary_pos_embed(  # diffusers/src/diffusers/models/embeddings.py:629 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed, accessed_by=FuncDefaultsGuardAccessor
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0], accessed_by=GetItemGuardAccessor(0)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[0] == 10000.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2], accessed_by=GetItemGuardAccessor(2)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[2] == 1.0  # freqs = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=freqs_dtype)[: (dim // 2)] / dim)) / linear_factor  # [D/2]  # diffusers/src/diffusers/models/embeddings.py:550 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3], accessed_by=GetItemGuardAccessor(3)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- EQUALS_MATCH: G['__import_diffusers_dot_models_dot_embeddings'].get_1d_rotary_pos_embed.__defaults__[3] == 1.0  # theta = theta * ntk_factor  # diffusers/src/diffusers/models/embeddings.py:549 in get_1d_rotary_pos_embed
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'], 139856042419520)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F, 139856042421440)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, accessed_by=GetAttrGuardAccessor(gelu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, 139856049958000)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, accessed_by=GetAttrGuardAccessor(silu)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.silu, 139856039794000)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, accessed_by=GetAttrGuardAccessor(linear)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, 139856049959216)  # return F.linear(input, self.weight, self.bias)  # nn/modules/linear.py:125 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, accessed_by=GetAttrGuardAccessor(dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.dropout, 139856039777904)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, accessed_by=GetAttrGuardAccessor(layer_norm)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.layer_norm, 139856039795440)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, accessed_by=GetAttrGuardAccessor(scaled_dot_product_attention)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.scaled_dot_product_attention, 139856049962576)  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_module)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_module'], 139856045629904)  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_pre_hooks)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- DICT_LENGTH: not G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks  # hidden_states = self.x_embedder(hidden_states)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:442 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_activations)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_activations'], 139855999915008)  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_activations'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_activations'].F  # return F.gelu(gate, approximate=self.approximate)  # diffusers/src/diffusers/models/activations.py:83 in gelu
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_dropout)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_dropout'], 139856038787168)  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_dropout'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_dropout'].F  # return F.dropout(input, self.p, self.training, self.inplace)  # nn/modules/dropout.py:70 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_normalization)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_normalization'], 139846585727152)  # variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True)  # diffusers/src/diffusers/models/normalization.py:427 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_normalization'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_normalization'].torch  # if self.weight.dtype in [torch.float16, torch.bfloat16]:  # diffusers/src/diffusers/models/normalization.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_container)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'], 139856039033488)  # return iter(self._modules.values())  # nn/modules/container.py:356 in __iter__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator, accessed_by=GetAttrGuardAccessor(operator)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator, 139859476171088)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, accessed_by=GetAttrGuardAccessor(index)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_container'].operator.index, 139859476211968)  # idx = operator.index(idx)  # nn/modules/container.py:314 in _get_abs_string_index
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_modeling_utils'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_modeling_utils)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_modeling_utils'], 139855997135104)  # is_in_config = "_internal_dict" in self.__dict__ and hasattr(self.__dict__["_internal_dict"], name)  # diffusers/src/diffusers/models/modeling_utils.py:142 in __getattr__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_activation)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'], 139856042420880)  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F  # return F.silu(input, inplace=self.inplace)  # nn/modules/activation.py:432 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'], accessed_by=DictGetItemGuardAccessor(__import_torch_dot_nn_dot_modules_dot_normalization)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_normalization'], 139856038867568)  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_normalization'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_normalization'].F  # return F.layer_norm(  # nn/modules/normalization.py:217 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'], accessed_by=DictGetItemGuardAccessor(__import_diffusers_dot_models_dot_attention_processor)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'], 139855999915568)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect, accessed_by=GetAttrGuardAccessor(inspect)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect, 139859475305312)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature, accessed_by=GetAttrGuardAccessor(signature)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, accessed_by=GetAttrGuardAccessor(__code__)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | | | +- ID_MATCH: ___check_obj_id(G['__import_diffusers_dot_models_dot_attention_processor'].inspect.signature.__code__, 139859474846800)  # attn_parameters = set(inspect.signature(self.processor.__call__).parameters.keys())  # diffusers/src/diffusers/models/attention_processor.py:479 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].F, accessed_by=GetAttrGuardAccessor(F)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_diffusers_dot_models_dot_attention_processor'].F  # hidden_states = F.scaled_dot_product_attention(query, key, value, dropout_p=0.0, is_causal=False)  # diffusers/src/diffusers/models/attention_processor.py:1765 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- GuardManager: source=G['__import_diffusers_dot_models_dot_attention_processor'].torch, accessed_by=GetAttrGuardAccessor(torch)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['__import_diffusers_dot_models_dot_attention_processor'].torch  # query = torch.cat([encoder_hidden_states_query_proj, query], dim=2)  # diffusers/src/diffusers/models/attention_processor.py:1755 in __call__
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | +- GuardManager: source=G['torch'], accessed_by=DictGetItemGuardAccessor(torch)
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards] | | | +- OBJECT_ALIASING: G['__import_diffusers_dot_models_dot_embeddings'].torch is G['torch']  # ids = torch.cat((txt_ids, img_ids), dim=0)  # diffusers/src/diffusers/models/transformers/transformer_flux.py:468 in forward
V0828 05:05:29.845303 1882310 torch/_dynamo/guards.py:2263] [0/2] [__guards]